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Titlebook: Unobtrusive Observations of Learning in Digital Environments; Examining Behavior, Vitomir Kovanovic,Roger Azevedo,Dirk lfenthaler Book 202

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发表于 2025-3-21 17:42:09 | 显示全部楼层 |阅读模式
书目名称Unobtrusive Observations of Learning in Digital Environments
副标题Examining Behavior,
编辑Vitomir Kovanovic,Roger Azevedo,Dirk lfenthaler
视频videohttp://file.papertrans.cn/943/942390/942390.mp4
丛书名称Advances in Analytics for Learning and Teaching
图书封面Titlebook: Unobtrusive Observations of Learning in Digital Environments; Examining Behavior,  Vitomir Kovanovic,Roger Azevedo,Dirk lfenthaler Book 202
描述.This book integrates foundational ideas from psychology, immersive digital learning environments supported by theories and methods of the learning sciences, particularly in pursuit of questions of cognition, behavior and emotion factors in digital learning experiences. New and emerging foundations of theory and analysis based on observation of digital traces are enhanced by data science, particularly machine learning, with extensions to deep learning, natural language processing and artificial intelligence brought into service to better understand higher-order thinking capacities such as self-regulation, collaborative problem-solving and social construction of knowledge. As a result, this edited volume presents a collection of indicators or measurements focusing on learning processes and related behavior, (meta-)cognition, emotion and motivation, as well as social processes. In addition, each section of the book includes an invited commentary from a related field, such as educational psychology, cognitive science, learning science, etc..
出版日期Book 2023
关键词Learning analytics; Educational Data Mining; Artificial Intelligence in Education; Мultimodal Learning;
版次1
doihttps://doi.org/10.1007/978-3-031-30992-2
isbn_softcover978-3-031-30994-6
isbn_ebook978-3-031-30992-2Series ISSN 2662-2122 Series E-ISSN 2662-2130
issn_series 2662-2122
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Advances in Analytics for Learning and Teachinghttp://image.papertrans.cn/u/image/942390.jpg
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Vitomir Kovanovic,Roger Azevedo,David C. Gibson,Dirk Ifenthaler
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Jonna Malmberg,Eetu Haataja,Tiina Törmänen,Hanna Järvenoja,Kateryna Zabolotna,Sanna Järvelä
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Correction to: Measuring and Validating Assumptions About Self-Regulated Learning with Multimodal D
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Abhinava Barthakur,Vitomir Kovanovic,Srecko Joksimovic,Abelardo Pardor-theoretic techniques. It yields deterministic bounds for the approximation error. The main mathematical tool here are so-called low-discrepancy sequences. These "quasi-random" points are produced by deterministic algorithms and should be as "super"­ uniformly distributed as possible. Hence, both i
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